Design Informed

The Power of Evidence to Create Design Excellence This practical, accessible book—for design professionals and students alike—is about design excellence and how to achieve it. The authors propose an evidence-based design approach that builds on design ingenuity with the use of research in ways that enhance opportunities to innovate. They show the power of research data to both reveal new design opportunities and convince stakeholders of the value of extraordinary work. A guide for all designers who want to earn their place as their clients' trusted advisor and who aspire to create places of beauty and purpose, the book demonstrates: An approach to applying evidence to design that neither turns designers into scientists nor requires large-firm resources The wide range of types of evidence that can be applicable to design and where to look for it Direct, practical application of the evidence-based design approaches in use today Provides tools to distinguish strong evidence that can improve design decisions from misleading assertions resulting from weak research Benefits of evidence-based design, including improved human and building performance Two featured case studies illustrate the theory and practice of evidence-based design. The work of the authors' 2005–2007 AIA College of Fellows Benjamin Latrobe Research Fellowship provided an empirical foundation for this book, and addresses the use of rigorous research methods to understand relationships between design choices and health outcomes. The California Academy of Sciences, designed by Renzo Piano Building Workshop, Chong Partners Architecture, and Arup, provides transparent evidence that enhances building technology performance in the context of a powerful design expression. In-depth interviews and case studies are clustered around three research categories: modeling, simulation, and data mining; social and behavioral science and the physical and natural sciences; and including cutting-edge use of neuroscience to understand human response to physical environments. The twenty-two featured thought leaders include: William Mitchell, MIT Media Lab; Fred Gage, Salk Institute; Phil Bernstein, Autodesk; Sheila Kennedy, Kennedy & Violich; James Timberlake, KieranTimberlake; William and Chris Sharples, SHoP Architects; Vivian Loftness, Carnegie Mellon University; John Zeisel, Hearthstone; Paco Underhill, Envirosell; Susan Ubbelohde and George Loisos, Loisos+Ubbelohde Architecture-Energy; Chris Luebkeman, Arup; Martin Fischer, Stanford University CIFE; and Kevin Powell, GSA.

Learning and Development (L&D) programmes are too often based on fads, the latest trends or learning designers' personal preferences without critical evaluation. Evidence-Informed Learning Design allows learning professionals to move away from this type of approach by showing them how to assess and apply relevant scientific literature, learning science research and proven learning techniques to design their training in a way that will make a measurable difference to employee performance and overall business success. Packed with tips, tools and examples, Evidence-Informed Learning Design enables L&D and training professionals to save both time and money by ensuring that efforts are focused on designing learning that's proven to be effective. Covering techniques like interleaving and self-directed and self-regulated learning, as well as debunking myths and fallacies in the field, it covers how best to test, measure and reinforce learning in both online, offline and face-to-face scenarios. To ensure that employees develop the skills the business needs to succeed and that the L&D function is recognised as adding true organizational value, this book is essential reading for anyone responsible for designing learning.

The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. Focuses on civil engineering applications for extreme events Explains the fundamentals of AI/ML and how they can be applied in civil engineering Features case study examples, design codes, and problems and solutions that would work for extreme events

Humans interact with the world through perception, reason about what they see with their front part of their brains, and save what they experience in memory. They also, however, have limitations in their sight, hearing, working memory, and reasoning processes. Cognitively Informed Intelligent Interfaces: Systems Design and Development analyzes well-grounded findings and recent insights on human perception and cognitive abilities and how these findings can and should impact the development and design of applications through the use of intelligent interfaces. Many software and systems developers currently address these cognitive issues haphazardly, and this reference will bring together clear and concise information to inform and assist all professionals interested in intelligent interfaces from designers to end users.

A proposal to redefine design in a way that not only challenges the field's dominant paradigms but also changes the practice of design itself. In Critical Fabulations, Daniela Rosner proposes redefining design as investigative and activist, personal and culturally situated, responsive and responsible. Challenging the field's dominant paradigms and reinterpreting its history, Rosner wants to change the way we historicize the practice, reworking it from the inside. Focusing on the development of computational systems, she takes on powerful narratives of innovation and technology shaped by the professional expertise that has become integral to the field's mounting status within the new industrial economy. To do so, she intervenes in legacies of design, expanding what is considered "design" to include long-silenced narratives of practice, and enhancing existing design methodologies based on these rediscovered inheritances. Drawing on discourses of feminist technoscience, she examines craftwork's contributions to computing innovation--how craftwork becomes hardware manufacturing, and how hardware manufacturing becomes craftwork.

On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move

The Instructional Design Trainer’s Guide provides foundational concepts and actionable strategies for training and mentoring instructional design and educational technology students to be effective across contexts. ID faculty are charged with bridging the gap between research and practice preparing graduate students for the real-world workforce. This book provides trainers and university programs with authentic learning experiences that better articulate the practices of and demands on design and technology professionals in the field. Through this enhanced perspective, learners will be better positioned to confidently embrace constraints, work among changing project expectations, interact with multiple stakeholders, and convey to employers the skills and competencies gleaned from their formal preparation.